Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Outdoor Dining at Villa in Ensenada

Outdoor Dining at Villa in Ensenada

Caption

A group of ten people enjoy a meal and conversation at a Villa in Ensenada, surrounded by lush foliage, palm trees, and a clear blue sky.

BLIP-2 Description:

a group of people sitting at tables outside

Chronologically Adjacent

Previous chronologically

Next chronologically

Note: You can also navigate with your arrow keys or swiping.

Metadata

Capture date:

Monday, September 23rd, 2002 at 10:49:25 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Zona Centro, Ensenada, Baja California, Mexico (31.86,-116.62)

Tags

Detected Text

com junglescene

Albums

Photo Archive/Old Photos/futura_mexico futura_mexico

Places

Venues

EXIF Data:

date

2002-09-23T10:49:25-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (41.19%)

curation (50.00%)

highlight visibility (4.51%)

behavioral (90.80%)

failure (-0.34%)

harmonious color (1.43%)

immersiveness (0.42%)

interaction (1.00%)

interesting subject (-18.31%)

intrusive object presence (-4.93%)

lively color (13.20%)

low light (5.64%)

noise (-4.22%)

pleasant camera tilt (-6.62%)

pleasant composition (-54.39%)

pleasant lighting (-23.46%)

pleasant pattern (10.03%)

pleasant perspective (-4.11%)

pleasant post processing (2.87%)

pleasant reflection (3.09%)

pleasant symmetry (0.24%)

sharply focused subject (1.05%)

tastefully blurred (2.42%)

well chosen subject (-44.17%)

well framed subject (-18.82%)

well timed shot (-9.61%)

all (-3.27%)

* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little... weird.

* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301 from OpenAI) based on a BLIP-2 image-to-text labeling, tags, location, people and album metadata from the image and are potentially inaccurate, often hilariously so. If you'd like me to adjust anything, just reach out.